Obos — Indicators and Strategies

Parabolic RSI [ChartPrime]The Parabolic RSI indicator applies the Parabolic SAR directly to the Relative Strength Index (RSI) . This combination helps traders identify trend shifts and potential reversal points within the RSI framework. The indicator provides both regular and strong signals based on whether the Parabolic SAR crosses above or below key RSI thresholds. ⯁ KEY FEATURES Parabolic SAR Applied to RSI – Tracks momentum shifts within the RSI indicator. Dynamic SAR Dots – Plots SAR levels directly on the RSI for visual clarity. Threshold-Based Signal Filtering – Uses upper (70) and lower (30) RSI levels to determine strong signals. Simple and Strong Signal System : Big Diamonds (Strong Signals) – Appear when Parabolic SAR crosses above 70 or below 30 RSI, indicating potential reversals. Small Diamonds (Regular Signals) – Appear when Parabolic SAR flips inside the RSI range, signaling weaker trend shifts. Chart Overlay Signals – Highlights strong RSI-based trend shifts directly on the price chart. Fully Customizable – Modify RSI length, SAR parameters, colors, and signal displays. ⯁ HOW TO USE Look for strong signals (big diamonds) when SAR flips above 70 RSI (overbought) or below 30 RSI (oversold) for potential reversals. Use regular signals (small diamonds) for minor trend shifts within the RSI range. Combine with price action and other indicators to confirm entry and exit points. Adjust the SAR acceleration factors to fine-tune sensitivity based on market conditions. ⯁ CONCLUSION The Parabolic RSI indicator merges trend-following and momentum-based analysis by applying the Parabolic SAR to RSI. This allows traders to detect trend shifts inside the RSI space with an intuitive diamond-based signal system . Whether used alone or as part of a broader trading strategy, this indicator provides a clear and structured approach to identifying momentum reversals and potential trading opportunities.

TEMA OBOS Strategy Pakun TEMA OBOS Strategy Overview This strategy combines a trend-following approach using the Triple Exponential Moving Average (TEMA) with Overbought/Oversold (OBOS) indicator filtering. By utilizing TEMA crossovers to determine trend direction and OBOS as a filter, it aims to improve entry precision. This strategy can be applied to markets such as Forex, Stocks, and Crypto, and is particularly designed for mid-term timeframes (5-minute to 1-hour charts). Strategy Objectives Identify trend direction using TEMA Use OBOS to filter out overbought/oversold conditions Implement ATR-based dynamic risk management Key Features 1. Trend Analysis Using TEMA Uses crossover of short-term EMA (ema3) and long-term EMA (ema4) to determine entries. ema4 acts as the primary trend filter. 2. Overbought/Oversold (OBOS) Filtering Long Entry Condition: up > down (bullish trend confirmed) Short Entry Condition: up < down (bearish trend confirmed) Reduces unnecessary trades by filtering extreme market conditions. 3. ATR-Based Take Profit (TP) & Stop Loss (SL) Adjustable ATR multiplier for TP/SL Default settings: TP = ATR × 5 SL = ATR × 2 Fully customizable risk parameters. 4. Customizable Parameters TEMA Length (for trend calculation) OBOS Length (for overbought/oversold detection) Take Profit Multiplier Stop Loss Multiplier EMA Display (Enable/Disable TEMA lines) Bar Color Change (Enable/Disable candle coloring) Trading Rules Long Entry (Buy Entry) ema3 crosses above ema4 (Golden Cross) OBOS indicator confirms up > down (bullish trend) Execute a buy position Short Entry (Sell Entry) ema3 crosses below ema4 (Death Cross) OBOS indicator confirms up < down (bearish trend) Execute a sell position Take Profit (TP) Entry Price + (ATR × TP Multiplier) (Default: 5) Stop Loss (SL) Entry Price - (ATR × SL Multiplier) (Default: 2) TP/SL settings are fully customizable to fine-tune risk management. Risk Management Parameters This strategy emphasizes proper position sizing and risk control to balance risk and return. Trading Parameters & Considerations Initial Account Balance: $7,000 (adjustable) Base Currency: USD Order Size: 10,000 USD Pyramiding: 1 Trading Fees: $0.94 per trade Long Position Margin: 50% Short Position Margin: 50% Total Trades (M5 Timeframe): 128 Deep Test Results (2024/11/01 - 2025/02/24)BTCUSD-5M Total P&L：+1638.20USD Max equity drawdown：694.78USD Total trades：128 Profitable trades:44.53 Profit factor:1.45 These settings aim to protect capital while maintaining a balanced risk-reward approach. Visual Support TEMA Lines (Three EMAs) Trend direction is indicated by color changes (Blue/Orange) ema3 (short-term) and ema4 (long-term) crossover signals potential entries OBOS Histogram Green → Strong buying pressure Red → Strong selling pressure Blue → Possible trend reversal Entry & Exit Markers Blue Arrow → Long Entry Signal Red Arrow → Short Entry Signal Take Profit / Stop Loss levels displayed Strategy Improvements & Uniqueness This strategy is based on indicators developed by "l_lonthoff" and "jdmonto0", but has been significantly optimized for better entry accuracy, visual clarity, and risk management. Enhanced Trend Identification with TEMA Detects early trend reversals using ema3 & ema4 crossover Reduces market noise for a smoother trend-following approach Improved OBOS Filtering Prevents excessive trading Reduces unnecessary risk exposure Dynamic Risk Management with ATR-Based TP/SL Not a fixed value → TP/SL adjusts to market volatility Fully customizable ATR multiplier settings (Default: TP = ATR × 5, SL = ATR × 2) Summary The TEMA + OBOS Strategy is a simple yet powerful trading method that integrates trend analysis and oscillators. TEMA for trend identification OBOS for noise reduction & overbought/oversold filtering ATR-based TP/SL settings for dynamic risk management Before using this strategy, ensure thorough backtesting and demo trading to fine-tune parameters according to your trading style.

Normalised T3 Oscillator [BackQuant]Normalised T3 Oscillator The Normalised T3 Oscillator is an technical indicator designed to provide traders with a refined measure of market momentum by normalizing the T3 Moving Average. This tool was developed to enhance trading decisions by smoothing price data and reducing market noise, allowing for clearer trend recognition and potential signal generation. Below is a detailed breakdown of the Normalised T3 Oscillator, its methodology, and its application in trading scenarios. 1. Conceptual Foundation and Definition of T3 The T3 Moving Average, originally proposed by Tim Tillson, is renowned for its smoothness and responsiveness, achieved through a combination of multiple Exponential Moving Averages and a volume factor. The Normalised T3 Oscillator extends this concept by normalizing these values to oscillate around a central zero line, which aids in highlighting overbought and oversold conditions. 2. Normalization Process Normalization in this context refers to the adjustment of the T3 values to ensure that the oscillator provides a standard range of output. This is accomplished by calculating the lowest and highest values of the T3 over a user-defined period and scaling the output between -0.5 to +0.5. This process not only aids in standardizing the indicator across different securities and time frames but also enhances comparative analysis. 3. Integration of the Oscillator and Moving Average A unique feature of the Normalised T3 Oscillator is the inclusion of a secondary smoothing mechanism via a moving average of the oscillator itself, selectable from various types such as SMA, EMA, and more. This moving average acts as a signal line, providing potential buy or sell triggers when the oscillator crosses this line, thus offering dual layers of analysis—momentum and trend confirmation. 4. Visualization and User Interaction The indicator is designed with user interaction in mind, featuring customizable parameters such as the length of the T3, normalization period, and type of moving average used for signals. Additionally, the oscillator is plotted with a color-coded scheme that visually represents different strength levels of the market conditions, enhancing readability and quick decision-making. 5. Practical Applications and Strategy Integration Traders can leverage the Normalised T3 Oscillator in various trading strategies, including trend following, counter-trend plays, and as a component of a broader trading system. It is particularly useful in identifying turning points in the market or confirming ongoing trends. The clear visualization and customizable nature of the oscillator facilitate its adaptation to different trading styles and market environments. 6. Advanced Features and Customization Further enhancing its utility, the indicator includes options such as painting candles according to the trend, showing static levels for quick reference, and alerts for crossover and crossunder events, which can be integrated into automated trading systems. These features allow for a high degree of personalization, enabling traders to mold the tool according to their specific trading preferences and risk management requirements. 7. Theoretical Justification and Empirical Usage The use of the T3 smoothing mechanism combined with normalization is theoretically sound, aiming to reduce lag and false signals often associated with traditional moving averages. The practical effectiveness of the Normalised T3 Oscillator should be validated through rigorous backtesting and adjustment of parameters to match historical market conditions and volatility. 8. Conclusion and Utility in Market Analysis Overall, the Normalised T3 Oscillator by BackQuant stands as a sophisticated tool for market analysis, providing traders with a dynamic and adaptable approach to gauging market momentum. Its development is rooted in the understanding of technical nuances and the demand for a more stable, responsive, and customizable trading indicator. Thus following all of the key points here are some sample backtests on the 1D Chart Disclaimer: Backtests are based off past results, and are not indicative of the future. INDEX:BTCUSD INDEX:ETHUSD BINANCE:SOLUSD

Wavetrend strategy with trading session for any time chart Hello there Today I am glad to provide you a strategy based on the wave trend oscillator. If you want to use it as an indicator, just disable long and short to not make any shops. It works on all time frames. The way it works its like an RSI . We have overbought and oversold levels, and together with a channel and length we calculate the wave trend. And then like in RSI, when we cross those lines we buy or sell depending on which lines we cross. For risk management, so far its not implemented, but it can be done in many ways. The only thing I applied is to always close a trade at the end of friday day. At the same time it can be applied the rule to sell when % of equity is lost, or at the end of a trading session like london,neywork and so on. For any questions or doubts, let me know. Hope you enjoy it :)